AI Engineer

You will build and ship AI features end-to-end. You will design, implement, and deploy models and services that power real user experiences. You will partner with product, data, and platform teams to turn ambiguous problems into robust, measurable solutions Requirements Proficiency with Python and deep-learning framework (PyTorch or TensorFlow).

Practical knowledge of modern ML stacks: feature stores, orchestration, experiment tracking, model registry, and monitoring. Experience with REST/gRPC services Experience training and deploying ML models; strong grasp of data structures, algorithms, and system design. 3+ years in software/ML roles building production systems. Experience with LLM application patterns ( Responsibilities Design, train, evaluate, and iterate on ML/LLM/NLP/CV models for product use-cases.

Ship inference services and SDKs; integrate models into user-facing apps and APIs. Optimize models and systems for cost, latency, and quality; apply quantization, distillation, and caching where appropriate Collaborate asynchronously; document decisions, write design docs, and communicate progress clearly in a remote environment Build data pipelines and evaluation harnesses; define offline/online metrics and guardrails #J-18808-Ljbffr